{"title":"一种基于二元特征矩阵的决策系统及其在电力系统中的应用","authors":"Thai-Phu Nguyen, Y. Liao","doi":"10.1109/SECON.2008.4494335","DOIUrl":null,"url":null,"abstract":"Various decision making methods have been proposed in the past for diverse applications. However, there is still a need for improvement: existing methods are either time consuming or difficult to expand when needed. This paper presents a novel decision making method based on binary feature matrix. This new method has the advantages of easier expansion of the rule set with additional features and being faster. Potential applications in electric power system are discussed.","PeriodicalId":188817,"journal":{"name":"IEEE SoutheastCon 2008","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel decision making system based on binary feature matrix and its applications in power system\",\"authors\":\"Thai-Phu Nguyen, Y. Liao\",\"doi\":\"10.1109/SECON.2008.4494335\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various decision making methods have been proposed in the past for diverse applications. However, there is still a need for improvement: existing methods are either time consuming or difficult to expand when needed. This paper presents a novel decision making method based on binary feature matrix. This new method has the advantages of easier expansion of the rule set with additional features and being faster. Potential applications in electric power system are discussed.\",\"PeriodicalId\":188817,\"journal\":{\"name\":\"IEEE SoutheastCon 2008\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE SoutheastCon 2008\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.2008.4494335\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE SoutheastCon 2008","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.2008.4494335","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel decision making system based on binary feature matrix and its applications in power system
Various decision making methods have been proposed in the past for diverse applications. However, there is still a need for improvement: existing methods are either time consuming or difficult to expand when needed. This paper presents a novel decision making method based on binary feature matrix. This new method has the advantages of easier expansion of the rule set with additional features and being faster. Potential applications in electric power system are discussed.